Sort by
Refine Your Search
-
Listed
-
Employer
- Stanford University
- New York University
- Rutgers University
- SUNY Polytechnic Institute
- University of North Carolina at Chapel Hill
- Argonne
- Brookhaven National Laboratory
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Sandia National Laboratories
- University of Nebraska Medical Center
- University of Utah
- 2 more »
- « less
-
Field
-
The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
-
their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social
-
. Experience with graph-based data analysis or anomaly detection methods. Exposure to high-performance or GPU-based computing environments. Demonstrated ability to contribute to publications or technical reports
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
or polar oceanography. Experience with high-performance computing, GPU-accelerated models (e.g., Oceananigans.jl), or advanced flow measurement techniques (e.g., PIV, LIF). Interest in mentoring graduate
-
contact, as identified by AFRL through recent past efforts. This includes the implementation of relevant algorithms and solvers for distributed GPU computing within the JAX Python library. Qualifications
-
with GPU-accelerated computation and high-dimensional data analysis. Enthusiasm for applying AI innovations to real biological and medical challenges. Required Application Materials: Cover letter
-
conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
cloud compute credits are available along with CPU/GPU nodes provided by the university. The expected outcomes of the position are: lead 1-2 major projects, contribute to other projects, collaborate with